Growth Data Science Lead — Paid Marketing Analytics & AI

Grab; Indonesia; On-site; IDR 350,000,000 - 700,000,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental and volunteering leave

Grabber Assistance Programme

FlexWork arrangements

Job summary

Grab is seeking a seasoned Manager, Growth Data Science - Digital Marketing to lead measurement and analytics for paid marketing. You will collaborate across marketing, analytics and data engineering to design attribution, MMM and AI-powered reporting tools that inform strategy and spend decisions.

You will mentor analysts, develop scalable data pipelines, and drive end-to-end analytics initiatives across regions and platforms.

Qualifications

• 5+ years of hands-on experience in data science and analytics, with at least 3+ years focused on paid marketing measurement and operations.
• Experience with attribution modeling (multi-touch, algorithmic, rule-based) and MMM.
• Strong SQL, Python and data visualization skills; ability to translate data into actionable insights.

Responsibilities

• Lead cross-functional collaboration between marketing, analytics, product, and data engineering teams.
• Design and implement advanced attribution methodologies to measure campaign contribution.
• Develop incrementality studies and A/B tests for paid marketing campaigns.
• Build MMM frameworks to optimize budget allocation and forecast performance.
• Conduct geo-lift studies and causal inference analyses for regional insights.
• Create analytics tools and dashboards delivering ROI and CAC insights.

Skills

Data science

Paid marketing

Attribution modeling

A/B testing

MMM

Python

SQL

Spark

Cloud platforms

Data pipelines

Tools

Python

SQL

Spark

Pandas

Scikit-learn

AWS Redshift

Job description

Grab is seeking a seasoned Manager, Growth Data Science - Digital Marketing to lead measurement and analytics for paid marketing. You will collaborate across marketing, analytics and data engineering to design attribution, MMM and AI-powered reporting tools that inform strategy and spend decisions.

You will mentor analysts, develop scalable data pipelines, and drive end-to-end analytics initiatives across regions and platforms.